# Trakkr (trakkr.ai): agent-readiness 89/100, grade B

> Rank 3 of 1000 on Qomvia (rubric v2.3.0). Last scanned 2026-10-08T17:00:40.508Z. Page: https://qomvia.com/site/trakkr-ai  JSON: https://qomvia.com/api/score/trakkr-ai

## Summary
Category: Software and SaaS
{
  "known": false,
  "confidence": "low",
  "summary": "I do not have prior knowledge of the website trakkr.ai beyond the details shared in this prompt.",
  "offerings": [],
  "audience": null,
  "geography": null,
  "strengths": [],
  "unknowns": [
    "Actual product functionality and performance",
    "Customer base and satisfaction",
    "Market position and adoption",
    "Specific pricing and subscription models",
    "Company financials and long-term viability"
  ],
  "alternatives": [],
  "business": null,
  "competitors": []
}

## Score by group
- Machine access: 24/24
- Content legibility: 24/26
- Discovery surface: 20/20
- Identity & policy: 8/12
- Agent-facing performance: 8/8
- Agent protocols: 5/10
Failing checks:
- [improvement] No stated policy for automated access
- [improvement] No Content Signals
- [improvement] Content carries a date
- [improvement] No Markdown for agents
- [polish] No Link headers for agents

## Add-on packs
- E-commerce & product feeds: 63/100 (not part of the public score)

## AI mentions and rivals
Named in 5 AI assistant answers.


## Named for
- What are the best tools to track how a brand is mentioned and recommended by AI assistants like ChatGPT, Claude and Gemini? https://qomvia.com/answers/what-are-the-best-tools-to-track-how-a-brand-is-mentioned-and-recommended-by-ai

## FAQ
Q: Is Trakkr readable by AI agents?
A: Trakkr (trakkr.ai) scores 89 out of 100 for agent readiness, grade B, measured 2 days ago, on 08.10.2026. 1 of 3 agent classes we test can use the site, and 0 checks currently block agents outright.

Q: What stops agents from using trakkr.ai?
A: The heaviest problems are: No stated policy for automated access; No Content Signals; Content carries a date; No Markdown for agents; No Link headers for agents. Each one is scored from a public HTTP response, and the fix for each is listed in the signed-in report.

Q: How is the Trakkr agent-readiness score calculated?
A: Qomvia fetches public pages of trakkr.ai as an AI agent would and runs the core checks every site gets across 6 groups: Machine access, Content legibility, Discovery surface, Identity & policy, Agent-facing performance, Agent protocols. Checks are weighted by how much an agent loses when they fail, and the score is expressed out of 100. E-commerce & product feeds checks are scored separately (63/100) and do not affect the public score or rank.

Q: How often is this score updated?
A: Public scores are re-checked when the site is re-scanned; tracked domains are re-scanned weekly and their owners are alerted when a check regresses. This page shows the scan from 2 days ago, on 08.10.2026.

## Related
- Leaderboard: https://qomvia.com/leaderboard — category ranking: https://qomvia.com/leaderboard/saas-software
- Score another site: https://qomvia.com/